高比转速离心蜗壳泵三维逆设计与CFD仿真相结合的多目标优化

Luying Zhang, Gabriela Dávila, M. Zangeneh
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引用次数: 2

摘要

针对高比转速离心蜗壳泵的设计,提出了三种不同的多目标优化策略。优化的目标是在保持欧拉头的前提下,实现效率最大化和空化最小化。前两种优化策略采用三维逆设计方法对叶片几何形状进行参数化。在优化过程中,子午形状和叶片三维几何形状都发生了变化。第一种方法采用实验设计法,通过CFD计算计算效率,利用三维反设计方法预测叶片表面的最小压力来评估空化。然后使用设计矩阵创建代理模型,在该模型中进行优化,以找到空化和效率之间的最佳权衡。经过制造和测试,这种优化的几何形状在高流量下比基线效率提高了3.9%,而且空化很小。第二种方法采用三维反设计方法输出来计算效率和空化参数,大大减少了计算时间。结果发现,优化后的几何形状与基于3D CFD结果的计算成本更高的解决方案相似。为了将基于逆设计的优化方法与常规优化方法进行比较,通过参数化叶片角度和子午形状进行等效优化。常规优化采用了两种不同的方法,一种是不限制TE处的叶片角度,另一种是限制叶片角度。在这两种情况下,与反设计方法相比,获得了较大的水头变化。这使得不可能创建准确的代理模型。此外,传统优化的效率水平普遍低于基于逆设计的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Optimization of a High Specific Speed Centrifugal Volute Pump Using 3D Inverse Design Coupled With CFD Simulations
This paper presents three different multi-objective optimization strategies for a high specific speed centrifugal volute pump design. The objectives of the optimization consist of maximizing the efficiency and minimizing the cavitation while maintaining the Euler head. The first two optimization strategies use a 3D inverse design method to parametrize the blade geometry. Both meridional shape and 3D blade geometry is changed during the optimization. In the first approach Design of Experiment method is used and the efficiency computed from CFD computations, while cavitation is evaluated by using minimum pressure on blade surface predicted by 3D inverse design method. The design matrix is then used to create a surrogate model where optimization is run to find the best tradeoff between cavitation and efficiency. This optimized geometry is manufactured and tested and is found to be 3.9% more efficient than the baseline with little cavitation at high flow. In the second approach the 3D inverse design method output is used to compute the efficiency and cavitation parameters and this leads to considerable reduction to the computational time. The resulting optimized geometry is found to be similar to the more computationally expensive solution based on 3D CFD results. In order to compare the inverse design based optimization to the conventional optimization an equivalent optimization is carried out by parametrizing the blade angle and meridional shape. Two different approaches are used for conventional optimization one in which the blade angle at TE is not constrained and one in which blade angles are constrained. In both cases larger variation in head is obtained when compared with the inverse design approach. This makes it impossible to create an accurate surrogate model. Furthermore, the efficiency levels in the conventional optimization is generally lower than the inverse design based optimization.
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